Load-capacity (stress-strength) interference theory is used to model the ti
me-dependent behavior of a 1-out-of-2: G redundant system and to examine co
mmon-mode failures. For single units subjected to Poisson distributed load
arrivals, the random failures, infant mortality, and aging are associated w
ith load variability, capacity variability, and capacity deterioration, res
pectively. This paper extends the analysis to a redundant system by using a
Markov model to treat Poisson distributed loads arriving at units simultan
eously. Loss of a-independence of the unit failures is analyzed with joint
pdfs of load and capacity. In the rare-event approximation, the degree of r
edundancy loss is characterized by expressing the coefficient in the beta-f
actor method in terms of the load and capacity distributions.